Abstract
Acoustic emission (AE) technology applied to condition monitoring is gaining acceptance as a useful monitoring tool. This study presents an experimental investigation for incipient fault detection of low-speed shafts with the AE technology. In addition to continuous AE measurements, traditional AE parameters, the energy index, kurtosis, information entropy and Kolmogorov–Smirnov test were employed to detect and monitor natural defect initiation and propagation in slow-speed rotating shafts. A low-speed test-rig was employed to accelerate natural shaft breakage. Throughout the life of the shaft, AE measurements were acquired. It is concluded that crack initiation and subsequent fracture can be detected using a range of data analysis techniques on AEs generated from natural degrading shafts.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
